Online tool 'could help early detection of ovarian cancer'

9 January 2012

A new tool could help healthcare professionals detect a woman's risk of ovarian cancer, a new study has revealed.

Researchers at the University of Nottingham and ClinRisk worked together to develop an online calculator that uses algorithms to assess a patient's symptoms and their risk factors for ovarian cancer.

Those who present heightened risk factors would be asked to have further tests to help detect more cases of ovarian cancer early.

A further study published online at BMJ.com earlier this week showed that the algorithm method was successful in predicting almost two-thirds of cancer cases in ten per cent of women deemed to be at risk over a two year period.

Leader of the research, professor Julia Hippisley-Cox, said: "Ovarian cancer is notoriously difficult to spot and we hope that this new tool will help GPs identify patients most at risk of having ovarian cancer for early referral and investigations."

She added that less than one-third of women are diagnosed in the first stages of the disease and of those patients, 90 per cent will survive to five years.

Macmillan Cancer Support explained that the most common type of ovarian cancer is serous with other types including endometrioid and clear cell.

Posted by Philip Briggs

 

Health News is provided by Adfero in collaboration with Spire Healthcare. Please note that all copy above is ©Adfero Ltd. and does not reflect views or opinions of Spire Healthcare unless explicitly stated. Additional comments on the page from individual Spire consultants do not necessarily reflect the views or opinions of other consultants or Spire Healthcare.
 

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